The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-29"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "17029155 (up from 16691527 yesterday: 2.02 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "667011 (up from 659622 yesterday: 1.12 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4987675

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.92



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4426982 70776 1.62 1372283 150713 1403 0.94 3.40
Brazil 2552265 69074 2.78 839105 90134 1595 1.80 3.53
India 1581963 98807 6.66 814667 34955 1530 4.58 2.21
Russia 827509 5449 0.66 127760 13650 167 1.24 1.65
South Africa 471123 11362 2.47 246458 7497 240 3.31 1.59
Mexico 408449 5752 1.43 133446 45361 485 1.08 11.11
Peru 400683 5678 1.44 87772 18816 204 1.10 4.70
Chile 351575 1775 0.51 48492 9278 38 0.41 2.64
United Kingdom 303063 768 0.25 14552 46046 83 0.18 15.19
Iran 298909 2636 0.89 50530 16343 196 1.21 5.47
Spain 282641 2031 0.72 30128 28441 5 0.02 10.06
Pakistan 276288 1063 0.39 35440 5892 27 0.46 2.13
Colombia 276055 8670 3.24 151561 9454 380 4.19 3.42
Saudi Arabia 272590 1759 0.65 52446 2816 27 0.97 1.03
Italy 246776 288 0.12 4627 35129 6 0.02 14.24
Bangladesh 232194 3009 1.31 60060 3035 35 1.17 1.31
Turkey 228924 942 0.41 19986 5659 14 0.25 2.47
France 221077 0 0.00 15005 30226 0 0.00 13.67
Germany 208546 839 0.40 9847 9135 4 0.04 4.38
Argentina 178996 5641 3.25 91966 3288 109 3.43 1.84
Iraq 118300 2968 2.57 50858 4603 68 1.50 3.89
Canada 117357 486 0.42 9023 8962 5 0.06 7.64
Qatar 110153 273 0.25 8600 169 2 1.20 0.15
Indonesia 104432 2381 2.33 36353 4975 74 1.51 4.76
Egypt 93356 409 0.44 15052 4728 37 0.79 5.06
Kazakhstan 87664 1472 1.71 36605 793 0 0.00 0.90
China 87213 223 0.26 2263 4658 1 0.02 5.34
Philippines 85486 1813 2.17 35127 1962 15 0.77 2.30
Ecuador 83193 914 1.11 19948 5623 39 0.70 6.76
Sweden 79782 288 0.36 5924 5730 28 0.49 7.18
Oman 78569 665 0.85 28362 412 10 2.49 0.52
Bolivia 73534 1207 1.67 30550 2808 88 3.24 3.82
Ukraine 69078 1048 1.54 17621 1673 23 1.39 2.42
Israel 68299 2006 3.03 34742 491 5 1.03 0.72
Belarus 67518 152 0.23 3294 548 5 0.92 0.81
Belgium 67335 673 1.01 5212 9836 3 0.03 14.61
Dominican Republic 66182 1492 2.31 26594 1123 22 2.00 1.70
Kuwait 65903 754 1.16 13896 444 2 0.45 0.67
Panama 63269 1046 1.68 22018 1374 25 1.85 2.17
United Arab Emirates 59921 375 0.63 6876 347 0 0.00 0.58
Netherlands 53895 248 0.46 2936 6166 2 0.03 11.44
Singapore 51531 334 0.65 6233 27 0 0.00 0.05
Portugal 50613 203 0.40 5754 1725 3 0.17 3.41
Romania 48235 1182 2.51 18060 2269 30 1.34 4.70
Guatemala 47605 1154 2.48 22194 1835 53 2.97 3.85
Poland 44416 512 1.17 7727 1694 12 0.71 3.81
Nigeria 42208 404 0.97 11959 873 5 0.58 2.07
Honduras 40944 484 1.20 14966 1259 45 3.71 3.07
Bahrain 40311 390 0.98 9380 144 3 2.13 0.36
Armenia 37937 308 0.82 8117 723 4 0.56 1.91
Afghanistan 36471 103 0.28 2877 1271 1 0.08 3.48
Ghana 35142 736 2.14 12320 175 7 4.17 0.50
Switzerland 34802 193 0.56 2304 1979 1 0.05 5.69
Kyrgyzstan 34592 748 2.21 25745 1347 18 1.35 3.89
Japan 33382 1266 3.94 13121 1001 0 0.00 3.00
Azerbaijan 31221 363 1.18 9305 438 8 1.86 1.40
Algeria 29229 614 2.15 11881 1186 12 1.02 4.06
Ireland 25942 13 0.05 400 1764 0 0.00 6.80
Serbia 24892 372 1.52 7816 558 7 1.27 2.24
Moldova 23947 426 1.81 5476 759 6 0.80 3.17
Uzbekistan 22585 886 4.08 11493 131 7 5.65 0.58
Morocco 22213 826 3.86 7442 334 7 2.14 1.50
Austria 20850 173 0.84 2337 716 3 0.42 3.43
Nepal 19273 210 1.10 2850 49 0 0.00 0.25
Kenya 19125 544 2.93 10597 311 12 4.01 1.63
Cameroon 17255 76 0.44 2339 391 0 0.00 2.27
Venezuela 17158 587 3.54 9150 156 5 3.31 0.91
Costa Rica 16800 456 2.79 10964 133 8 6.40 0.79
Australia 16298 716 4.60 7242 189 13 7.39 1.16
Czechia 16093 294 1.86 3279 374 0 0.00 2.32
El Salvador 15841 395 2.56 7275 430 13 3.12 2.71
Cote d’Ivoire 15813 100 0.64 4309 99 1 1.02 0.63
Ethiopia 15810 610 4.01 9036 253 14 5.86 1.60
Korea, South 14269 18 0.13 976 300 0 0.00 2.10
Denmark 13868 57 0.41 767 614 1 0.16 4.43
Sudan 11496 0 0.00 1412 725 0 0.00 6.31
West Bank and Gaza 11284 346 3.16 6255 80 1 1.27 0.71
Bulgaria 11155 284 2.61 4813 368 13 3.66 3.30
Bosnia and Herzegovina 11127 361 3.35 5258 316 19 6.40 2.84
North Macedonia 10503 188 1.82 3097 476 5 1.06 4.53
Madagascar 10317 213 2.11 6744 99 6 6.45 0.96

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 484913 14151 3.01 192353 8908 229 2.64 1.84 12272.48 225.45 1 in 81
Florida 451423 9446 2.14 227640 6333 216 3.53 1.40 21018.18 294.86 1 in 48
Texas 418995 10502 2.57 194066 6193 280 4.74 1.48 14450.16 213.58 1 in 69
New York 413593 715 0.17 14664 32658 5 0.02 7.90 21260.53 1678.77 1 in 47
New Jersey 180600 305 0.17 6561 15798 -27 -0.17 8.75 20332.82 1778.62 1 in 49
Georgia 178323 3271 1.87 74433 3642 79 2.22 2.04 16795.32 343.02 1 in 60
Illinois 176363 1395 0.80 25809 7654 16 0.21 4.34 13917.73 604.02 1 in 72
Arizona 168273 2339 1.41 59659 3454 46 1.35 2.05 22097.88 453.58 1 in 45
North Carolina 118387 1687 1.45 40700 1888 28 1.51 1.59 11287.76 180.01 1 in 89
Massachusetts 116684 502 0.43 6082 8580 29 0.34 7.35 16790.27 1234.62 1 in 60
Pennsylvania 114939 856 0.75 18214 7171 17 0.24 6.24 8978.21 560.15 1 in 111
Louisiana 112773 1735 1.56 42622 3883 71 1.86 3.44 24258.55 835.27 1 in 41
Tennessee 100822 1778 1.80 44836 1020 21 2.10 1.01 14754.78 149.27 1 in 68
Michigan 88974 1016 1.16 14423 6422 1 0.02 7.22 8909.11 643.05 1 in 112
Virginia 87993 999 1.15 20618 2125 30 1.43 2.41 10309.04 248.96 1 in 97
Ohio 87893 1396 1.61 27712 3422 40 1.18 3.89 7519.23 292.75 1 in 133
Maryland 86285 761 0.89 15424 3478 20 0.58 4.03 14272.17 575.29 1 in 70
South Carolina 85846 1737 2.07 36937 1615 50 3.19 1.88 16673.29 313.67 1 in 60
Alabama 83782 1416 1.72 36820 1538 47 3.15 1.84 17087.26 313.67 1 in 59
Indiana 64299 621 0.98 15236 2932 8 0.27 4.56 9550.94 435.52 1 in 105
Mississippi 55804 1719 3.18 22916 1563 23 1.49 2.80 18750.41 525.18 1 in 53
Washington 54985 780 1.44 17044 1555 7 0.45 2.83 7220.72 204.21 1 in 138
Minnesota 52947 666 1.27 13358 1629 9 0.56 3.08 9388.38 288.85 1 in 107
Wisconsin 51049 870 1.73 17895 911 5 0.55 1.78 8767.64 156.46 1 in 114
Connecticut 49540 463 0.94 2432 4425 2 0.05 8.93 13895.09 1241.13 1 in 72
Missouri 46942 1761 3.90 21352 1239 7 0.57 2.64 7648.48 201.88 1 in 131
Nevada 45806 870 1.94 21505 780 21 2.77 1.70 14871.32 253.23 1 in 67
Colorado 45778 482 1.06 10679 1822 15 0.83 3.98 7949.31 316.39 1 in 126
Iowa 43623 695 1.62 10999 854 15 1.79 1.96 13826.32 270.68 1 in 72
Arkansas 40968 787 1.96 15722 434 6 1.40 1.06 13575.34 143.81 1 in 74
Utah 39194 339 0.87 12439 292 6 2.10 0.75 12225.36 91.08 1 in 82
Oklahoma 34623 848 2.51 16729 523 14 2.75 1.51 8749.87 132.17 1 in 114
Kentucky 28727 616 2.19 10808 724 5 0.70 2.52 6429.97 162.05 1 in 156
Kansas 26591 533 2.05 9259 349 9 2.65 1.31 9127.41 119.79 1 in 110
Nebraska 25422 265 1.05 4997 324 3 0.93 1.27 13142.01 167.49 1 in 76
New Mexico 20136 345 1.74 6119 632 6 0.96 3.14 9603.07 301.41 1 in 104
Idaho 19674 454 2.36 10705 173 13 8.12 0.88 10978.40 96.54 1 in 91
Rhode Island 18800 75 0.40 1596 1007 2 0.20 5.36 17746.55 950.57 1 in 56
Oregon 17721 313 1.80 6904 311 8 2.64 1.75 4201.54 73.74 1 in 238
Puerto Rico 16061 221 1.40 7316 211 2 0.96 1.31 5028.97 66.07 1 in 199
Delaware 14602 126 0.87 2140 581 1 0.17 3.98 14995.42 596.65 1 in 67
District of Columbia 11999 54 0.45 1357 584 1 0.17 4.87 17001.80 827.49 1 in 59
South Dakota 8641 149 1.75 1399 129 6 4.88 1.49 9767.61 145.82 1 in 102
New Hampshire 6513 13 0.20 561 411 2 0.49 6.31 4789.99 302.27 1 in 209
West Virginia 6277 157 2.57 2570 111 3 2.78 1.77 3512.30 62.11 1 in 285
North Dakota 6227 86 1.40 2256 102 2 2.00 1.64 8171.25 133.85 1 in 122
Maine 3866 28 0.73 406 121 0 0.00 3.13 2876.03 90.02 1 in 348
Montana 3676 202 5.81 2305 54 3 5.88 1.47 3439.44 50.52 1 in 291
Alaska 2798 68 2.49 1576 22 0 0.00 0.79 3824.78 30.07 1 in 261
Wyoming 2628 39 1.51 888 26 0 0.00 0.99 4540.75 44.92 1 in 220
Hawaii 1865 108 6.15 771 26 0 0.00 1.39 1317.21 18.36 1 in 759
Vermont 1406 1 0.07 150 56 0 0.00 3.98 2253.24 89.75 1 in 444

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 7517466 484913 6.45 2521291 192353 7.63 190256.72
2 Florida 3526765 451423 12.80 1206558 227640 18.87 164205.61
3 Texas 3539368 418995 11.84 1280660 194066 15.15 122064.51
4 New York 5746822 413593 7.20 1344370 14664 1.09 295412.34
5 New Jersey 2042682 180600 8.84 464834 6561 1.41 229975.04
6 Georgia 1512464 178323 11.79 512055 74433 14.54 142451.14
7 Illinois 2609894 176363 6.76 766196 25809 3.37 205960.45
8 Arizona 901429 168273 18.67 260359 59659 22.91 118377.11
9 North Carolina 1691434 118387 7.00 594752 40700 6.84 161271.97
10 Massachusetts 1141116 116684 10.23 225121 6082 2.70 164201.09
11 Pennsylvania 1184081 114939 9.71 317555 18214 5.74 92491.96
12 Louisiana 1295131 112773 8.71 429394 42622 9.93 278595.05
13 Tennessee 1456239 100822 6.92 505280 44836 8.87 213113.12
14 Michigan 1793233 88974 4.96 593230 14423 2.43 179559.29
15 Virginia 1076756 87993 8.17 338757 20618 6.09 126150.03
16 Ohio 1420837 87893 6.19 505585 27712 5.48 121552.30
17 Maryland 878959 86285 9.82 275851 15424 5.59 145386.29
18 South Carolina 680990 85846 12.61 227150 36937 16.26 132264.10
19 Alabama 668275 83782 12.54 199983 36820 18.41 136294.06
20 Indiana 724238 64299 8.88 188381 15236 8.09 107577.90
21 Mississippi 443304 55804 12.59 128577 22916 17.82 148952.22
22 Washington 945234 54985 5.82 309710 17044 5.50 124129.65
23 Minnesota 993091 52947 5.33 300121 13358 4.45 176091.45
24 Wisconsin 906379 51049 5.63 258819 17895 6.91 155670.12
25 Connecticut 765776 49540 6.47 228332 2432 1.07 214786.64
26 Missouri 660899 46942 7.10 218559 21352 9.77 107683.38
27 Nevada 457385 45806 10.01 133732 21505 16.08 148494.10
28 Colorado 512177 45778 8.94 147104 10679 7.26 88939.14
29 Iowa 462712 43623 9.43 116361 10999 9.45 146656.65
30 Arkansas 495605 40968 8.27 142333 15722 11.05 164225.89
31 Utah 518191 39194 7.56 132431 12439 9.39 161633.75
32 Oklahoma 606513 34623 5.71 211690 16729 7.90 153277.09
33 Kentucky 568341 28727 5.05 116420 10808 9.28 127211.86
34 Kansas 284949 26591 9.33 76467 9259 12.11 97809.23
35 Nebraska 264033 25422 9.63 68985 4997 7.24 136492.92
36 New Mexico 536853 20136 3.75 151611 6119 4.04 256030.89
37 Idaho 173042 19674 11.37 61711 10705 17.35 96560.11
38 Rhode Island 202465 18800 9.29 39195 1596 4.07 191119.93
39 Oregon 394155 17721 4.50 117888 6904 5.86 93451.77
41 Delaware 177016 14602 8.25 47982 2140 4.46 181785.32
42 District of Columbia 180049 11999 6.66 65760 1357 2.06 255117.61
43 South Dakota 109714 8641 7.88 23488 1399 5.96 124018.41
44 New Hampshire 156083 6513 4.17 27572 561 2.03 114791.30
45 West Virginia 274127 6277 2.29 80212 2570 3.20 153388.05
46 North Dakota 151083 6227 4.12 35244 2256 6.40 198255.52
47 Maine 162077 3866 2.39 49139 406 0.83 120573.99
48 Montana 165355 3676 2.22 58934 2305 3.91 154714.08
49 Alaska 223664 2798 1.25 90263 1576 1.75 305741.96
50 Wyoming 52012 2628 5.05 14194 888 6.26 89868.15
51 Hawaii 117559 1865 1.59 30463 771 2.53 83029.40
52 Vermont 92461 1406 1.52 20705 150 0.72 148177.29

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 411798 11147 2.78 248615 60.37 148150 14729 266 1.84 3.58
Tamil Nadu 239978 5864 2.50 178178 74.25 57959 3841 100 2.67 1.60
Delhi 134403 1093 0.82 119724 89.08 10743 3936 29 0.74 2.93
Andhra Pradesh 130557 10167 8.45 60024 45.98 69252 1281 68 5.61 0.98
Karnataka 118632 6128 5.45 46694 39.36 69699 2230 83 3.87 1.88
Uttar Pradesh 81039 3705 4.79 46803 57.75 32649 1587 57 3.73 1.96
West Bengal 67692 2434 3.73 46256 68.33 19900 1536 46 3.09 2.27
Telangana 60717 1811 3.07 44572 73.41 15640 505 13 2.64 0.83
Gujarat 60285 1159 1.96 44176 73.28 13695 2414 22 0.92 4.00
Bihar 48001 2082 4.53 31673 65.98 16042 285 12 4.40 0.59
Rajasthan 40936 1156 2.91 29231 71.41 11038 667 13 1.99 1.63
Assam 38408 2112 5.82 29081 75.72 9230 94 2 2.17 0.24
Haryana 34254 623 1.85 27340 79.82 6497 417 4 0.97 1.22
Madhya Pradesh 30968 834 2.77 21657 69.93 8454 857 13 1.54 2.77
Odisha 30378 1203 4.12 19746 65.00 10427 205 10 5.13 0.67
Kerala 22304 506 2.32 12159 54.51 10056 71 2 2.90 0.32
Jammu and Kashmir 19869 450 2.32 11842 59.60 7662 365 17 4.89 1.84
Punjab 15456 510 3.41 10509 67.99 4577 370 9 2.49 2.39
Jharkhand 10399 505 5.10 4176 40.16 6120 103 4 4.04 0.99
Chhattisgarh 8856 256 2.98 5921 66.86 2884 51 1 2.00 0.58
Uttarakhand 7065 199 2.90 3996 56.56 2955 76 4 5.56 1.08
Goa 5704 215 3.92 4005 70.21 1657 42 3 7.69 0.74
Tripura 4503 216 5.04 2962 65.78 1502 21 0 0.00 0.47
Puducherry 3298 121 3.81 1958 59.37 1292 48 1 2.13 1.46
Himachal Pradesh 2506 103 4.29 1387 55.35 1089 13 0 0.00 0.52
Manipur 2505 47 1.91 1672 66.75 829 4 3 300.00 0.16
Nagaland 1566 53 3.50 625 39.91 935 4 0 0.00 0.26
Arunachal Pradesh 1484 74 5.25 827 55.73 654 3 0 0.00 0.20
Ladakh 1378 31 2.30 1094 79.39 278 6 0 0.00 0.44
Dadra and Nagar Haveli and Daman and Diu 1103 35 3.28 684 62.01 406 2 0 0.00 0.18
Chandigarh 1016 38 3.89 647 63.68 355 14 0 0.00 1.38
Meghalaya 803 19 2.42 210 26.15 588 5 0 0.00 0.62
Sikkim 610 14 2.35 214 35.08 395 1 0 0.00 0.16
Andaman and Nicobar Islands 470 42 9.81 201 42.77 265 3 1 50.00 0.64
Mizoram 409 14 3.54 234 57.21 174 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1280533 96054 46 0.05 7.50 154 13 6563 16802 17.49
Piemonte 493315 31636 14 0.04 6.41 124 5 801 4128 13.05
Emilia-Romagna 634280 29603 28 0.09 4.67 66 3 1451 4287 14.48
Veneto 1201970 19891 42 0.21 1.65 31 0 784 2073 10.42
Toscana 418307 10458 17 0.16 2.50 15 0 380 1134 10.84
Liguria 185872 10197 20 0.20 5.49 21 0 197 1566 15.36
Lazio 412018 8611 34 0.40 2.09 198 9 969 862 10.01
Marche 165056 6855 17 0.25 4.15 5 0 130 987 14.40
Campania 327787 4974 19 0.38 1.52 26 1 408 434 8.73
P.A. Trento 150606 4970 4 0.08 3.30 0 0 98 405 8.15
Puglia 235701 4606 10 0.22 1.95 17 0 92 551 11.96
Friuli Venezia Giulia 246256 3378 3 0.09 1.37 8 2 112 345 10.21
Abruzzo 126445 3373 4 0.12 2.67 14 1 109 472 13.99
Sicilia 271097 3233 18 0.56 1.19 29 2 224 283 8.75
P.A. Bolzano 103004 2696 5 0.19 2.62 6 1 86 292 10.83
Umbria 119259 1465 0 0.00 1.23 7 1 17 80 5.46
Sardegna 105003 1394 2 0.14 1.33 3 0 23 134 9.61
Calabria 118592 1255 3 0.24 1.06 3 0 86 97 7.73
Valle d’Aosta 21287 1208 2 0.17 5.67 1 0 13 146 12.09
Molise 27383 470 1 0.21 1.72 1 0 26 23 4.89
Basilicata 46540 449 0 0.00 0.96 2 0 47 28 6.24

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 59073 176 0.30 5670 0 0.00 9.60 6919.10 664.12 1 in 145
Ontario 40873 86 0.21 2813 1 0.04 6.88 2778.24 191.21 1 in 360
Alberta 10603 133 1.27 190 3 1.60 1.79 2402.59 43.05 1 in 416
British Columbia 3562 39 1.11 194 0 0.00 5.45 696.94 37.96 1 in 1435
Saskatchewan 1268 50 4.11 17 0 0.00 1.34 1073.06 14.39 1 in 932
Nova Scotia 1067 0 0.00 64 1 1.59 6.00 1091.61 65.48 1 in 916
Manitoba 407 2 0.49 8 0 0.00 1.97 295.46 5.81 1 in 3385
Newfoundland and Labrador 266 0 0.00 3 0 0.00 1.13 510.20 5.75 1 in 1960
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 0 0.00 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 3002 24 0.80
Guangdong 1675 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Beijing 933 9 0.96
Jiangxi 932 1 0.11
Shandong 799 7 0.88
Shanghai 744 7 0.94
Jiangsu 655 0 0.00
Sichuan 604 3 0.50
Chongqing 583 6 1.03
Xinjiang 496 3 0.60
Fujian 366 1 0.27
Hebei 349 6 1.72
Shaanxi 324 3 0.93
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Liaoning 222 2 0.90
Tianjin 204 3 1.47
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 13529.90 460.61 1 in 74
Brazil 12194.29 430.65 1 in 82
India 1181.45 26.11 1 in 846
Russia 5726.71 94.46 1 in 175
South Africa 8306.12 132.18 1 in 120
Mexico 3161.37 351.09 1 in 316
Peru 12455.18 584.89 1 in 80
Chile 19477.84 514.02 1 in 51
United Kingdom 4561.45 693.05 1 in 219
Iran 3682.96 201.37 1 in 272
Spain 6057.46 609.54 1 in 165
Pakistan 1402.48 29.91 1 in 713
Colombia 5625.74 192.66 1 in 178
Saudi Arabia 8275.35 85.49 1 in 121
Italy 4080.29 580.84 1 in 245
Bangladesh NA NA 1 in NA
Turkey 2832.87 70.03 1 in 353
France 3300.15 451.20 1 in 303
Germany 2518.98 110.34 1 in 397
Argentina 4043.28 74.27 1 in 247

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 224551 23512 10.47
Los Angeles California 183456 4518 2.46
Maricopa Arizona 113148 1915 1.69
Miami-Dade Florida 113143 1455 1.29
Cook Illinois 104001 4864 4.68
Harris Texas 69123 686 0.99
Broward Florida 52970 638 1.20
Dallas Texas 48732 658 1.35
Nassau New York 43100 2194 5.09
Suffolk New York 43084 1996 4.63
Clark Nevada 39345 645 1.64
Bexar Texas 38930 521 1.34
Riverside California 36159 682 1.89
Westchester New York 35874 1443 4.02
Orange California 35272 587 1.66
San Bernardino California 32309 419 1.30
Palm Beach Florida 32171 795 2.47
Philadelphia Pennsylvania 30077 1680 5.59
San Diego California 28287 552 1.95
Hillsborough Florida 28268 323 1.14
Orange Florida 28191 203 0.72
Wayne Michigan 26689 2792 10.46
Tarrant Texas 26315 351 1.33
Middlesex Massachusetts 25535 1971 7.72
Prince George’s Maryland 22044 733 3.33
Suffolk Massachusetts 21030 1054 5.01
Duval Florida 20398 149 0.73
Bergen New Jersey 20391 2038 9.99
Travis Texas 19952 214 1.07
Mecklenburg North Carolina 19924 192 0.96
Shelby Tennessee 19522 273 1.40
Hudson New Jersey 19430 1500 7.72
Essex New Jersey 19428 2100 10.81
Milwaukee Wisconsin 18769 429 2.29
Salt Lake Utah 18575 166 0.89
Davidson Tennessee 18545 194 1.05
Fairfield Connecticut 17733 1404 7.92
Middlesex New Jersey 17615 1403 7.96
Passaic New Jersey 17370 1241 7.14
Kern California 17344 135 0.78
Montgomery Maryland 17305 787 4.55
Essex Massachusetts 17119 1175 6.86
Hennepin Minnesota 16881 810 4.80
Fulton Georgia 16867 381 2.26
Union New Jersey 16439 1345 8.18
Franklin Ohio 16311 502 3.08
Gwinnett Georgia 16255 223 1.37
Hidalgo Texas 16088 467 2.90
Pinellas Florida 15800 400 2.53
Pima Arizona 15601 431 2.76
Fairfax Virginia 15570 519 3.33
Lee Florida 14877 279 1.88
King Washington 14856 648 4.36
Out of GA Georgia 14776 76 0.51
Providence Rhode Island 14549 0 0.00
Oakland Michigan 14362 1122 7.81
Marion Indiana 14096 714 5.07
Jefferson Louisiana 13872 510 3.68
Rockland New York 13852 673 4.86
El Paso Texas 13807 232 1.68
Fresno California 13336 120 0.90
Worcester Massachusetts 13204 986 7.47
New Haven Connecticut 12983 1100 8.47
Hartford Connecticut 12542 1411 11.25
Cuyahoga Ohio 12088 465 3.85
Polk Florida 12059 251 2.08
St. Louis Missouri 12018 646 5.38
District of Columbia District of Columbia 11999 584 4.87
DeKalb Georgia 11679 213 1.82
Lake Illinois 11649 439 3.77
Baltimore Maryland 11423 538 4.71
San Joaquin California 11209 146 1.30
Nueces Texas 11160 162 1.45
Charleston South Carolina 11125 154 1.38
DuPage Illinois 11084 508 4.58
Orange New York 11034 489 4.43
Baltimore City Maryland 10826 404 3.73
Alameda California 10773 181 1.68
Jefferson Alabama 10690 208 1.95
Yuma Arizona 10657 230 2.16
Cobb Georgia 10653 297 2.79
Wake North Carolina 10464 116 1.11
East Baton Rouge Louisiana 10345 320 3.09
Ocean New Jersey 10330 1010 9.78
Orleans Louisiana 10120 559 5.52
Norfolk Massachusetts 10103 979 9.69
Monmouth New Jersey 9985 858 8.59
Douglas Nebraska 9894 126 1.27
Yakima Washington 9804 202 2.06
Greenville South Carolina 9737 169 1.74
Montgomery Pennsylvania 9673 846 8.75
Santa Clara California 9612 187 1.95
Sacramento California 9514 126 1.32
Denver Colorado 9482 408 4.30
Polk Iowa 9262 193 2.08
Imperial California 9241 188 2.03
Collier Florida 9178 120 1.31
Macomb Michigan 9166 933 10.18
Tulare California 9076 173 1.91
Plymouth Massachusetts 9043 707 7.82

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc